一种新的跳频信号跳速盲估计算法

A Novel Blind Estimation Algorithm of Hop Rate for Frequency Hopping Signals

提出一种全新的跳速估计联合算法,即将数据在相位微商快速傅里叶变换(PDFFT)前期处理的基础上,再进行差分处理,最后利用最小二乘(LS)法进行线性拟合最终估计出跳速。仿真结果表明,该算法计算量远小于传统的短时哈特莱变换、小波变换和魏格纳分布(WVD)系列,略大于短时傅里叶变换;在估计精度上与前3种方法相当却远高于后者,因而该法很适合实时跳频信号分析。

The commonly used techniques for estimating hop rate are short time Hartley transform, wavelet - transform and WVDs （ including WVD, .PWVD and SPWVD）. Though they can achieve high accuracy, they are unpractical because of their computational burdens. On the other side, the short - time Fourier transform （STFT） is more efficient, but its accuracy can not be satisfying. Taking these into account, a novel method based on the Phase Derivative FFT - Least Square is proposed to balance the problem of accuracy and efficiency. Simulations show that this method can exactly and efficiently estimate the hop rate of real frequency hopping signals.